Sinopsis
Design low-maintenance systems using pre-built cloud services! Bring down costs, automate time-consuming ops tasks, and scale on demand.
In Serverless Architectures on AWS, Second Edition you will learn:
First steps with serverless computing
The principles of serverless design
Important patterns and architectures
How successfully companies have implemented serverless
Real-world architectures and their tradeoffs
Serverless Architectures on AWS, Second Edition teaches you how to design serverless systems. You’ll discover the principles behind serverless architectures, and explore real-world case studies where companies used serverless architectures for their products. You won’t just master the technical essentials—the book contains extensive coverage of balancing tradeoffs and making essential technical decisions. This new edition has been fully updated with new chapters covering current best practice, example architectures, and full coverage of the latest changes to AWS.
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
About the technology
Maintaining server hardware and software can cost a lot of time and money. Unlike traditional data center infrastructure, serverless architectures offload core tasks like data storage and hardware management to pre-built cloud services. Better yet, you can combine your own custom AWS Lambda functions with other serverless services to create features that automatically start and scale on demand, reduce hosting cost, and simplify maintenance.
About the book
In Serverless Architectures with AWS, Second Edition you’ll learn how to design serverless systems using Lambda and other services on the AWS platform. You’ll explore event-driven computing and discover how others have used serverless designs successfully. This new edition offers real-world use cases and practical insights from several large-scale serverless systems. Chapters on innovative serverless design patterns and architectures will help you become a complete cloud professional.
What's inside
First steps with serverless computing
The principles of serverless design
Important patterns and architectures
Real-world architectures and their tradeoffs
About the reader
For server-side and full-stack software developers.
About the author
Peter Sbarski is VP of Education and Research at A Cloud Guru. Yan Cui is an independent AWS consultant and educator. Ajay Nair is one of the founding members of the AWS Lambda team.
Table of Contents
PART 1 FIRST STEPS
1 Going serverless
2 First steps to serverless
3 Architectures and patterns
PART 2 USE CASES
4 Yubl: Architecture highlights, lessons learned
5 A Cloud Guru: Architecture highlights, lessons learned
6 Yle: Architecture highlights, lessons learned
PART 3 PRACTICUM
7 Building a scheduling service for ad hoc tasks
8 Architecting serverless parallel computing
9 Code Developer University
PART 4 THE FUTURE
10 Blackbelt Lambda
11 Emerging practices
Acerca del autor
Dr. Peter Sbarski is a well-known AWS expert, VP of engineering at A Cloud Guru, and head of Serverlessconf.
Yan Cui has worked with AWS since 2010 and has architected and implemented many scalable backend systems running on AWS, including a successful mobile game with 1,000,000 daily active users. He has worked with AWS Lambda in production, including migrating a social network from a monolithic backend architecture running on EC2 to an event-driven, service-oriented architecture centered around AWS Lambda. Yan is also an AWS hero!
Ajay Nair is a Principal Technical Product Manager at Amazon. Ajay is one of the founding members of the AWS Lambda team, and he continues to work closely with customers and partners to define the product roadmap and strategy for AWS Lambda and the overall serverless portfolio for AWS. Ajay has spent his entire career building and helping developers build large scale distributed systems, with deep expertise in cloud native application platforms, big data systems, and streamlining development experiences. Ajay holds a Masters in Information Systems Management from Carnegie Mellon University, USA.
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